Chest-Disease-Classification-Final-Version
PublicAn MLOps-powered pipeline for chest disease classification from CT scans using ResNet50, achieving 89.52% accuracy. Includes data versioning with DVC, experiment tracking with MLflow, automated model evaluation, and scalable deployment via Flask API and Docker.